Comments Analytics
Extracting Comments Insights is an AI-powered tool that allows businesses to analyze and understand customer feedback and sentiment by extr...
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What is Comments Analytics?
Comments Analytics is an AI‑powered comments‑analysis platform that ingests and processes user comments from sources like YouTube, social posts, website comments, video comments, product page reviews, and other unstructured text data. It uses machine‑learning models trained on vast volumes of text to perform sentiment analysis, keyword extraction, category extraction, and named‑entity recognition, helping businesses understand customer opinions, motivations, and behavior at scale. The tool is designed for no‑code usage, so users with minimal technical skills can import comments, run analyses, and receive structured insights without writing code.
The platform supports multiple input methods, including a Chrome extension for YouTube, CSV/XLSX uploads, and direct imports from Google Sheets, enabling teams to centralize feedback from different channels in one dashboard. Comments Analytics then groups, categorizes, and labels comments by topic, sentiment polarity, and key phrases, and can surface recurring issues or emerging trends over time. This makes it useful for product teams, marketers, social‑media managers, and customer‑support leaders who want to monitor brand reputation, prioritize feature requests, and refine content or support strategies based on real‑world feedback.
Comments Analytics targets content creators, SaaS companies, e‑commerce brands, and agencies that manage large volumes of user‑generated text and need to turn raw comments into structured insights. It is especially suited for organizations that already collect comments in spreadsheets or spreadsheets‑linked workflows and want to automate analysis instead of manually reading through thousands of comments. The service is built as a SaaS product with lifetime‑credit‑based plans, so users can purchase analysis credits once and consume them over time without worrying about monthly expiration, while still having access to the same core analytics engines and dashboards.
The platform is built around a core set of analytics services—sentiment analysis, keyword extraction, category extraction, and named‑entity recognition—so businesses can both understand how customers feel and identify which topics or entities are being discussed most frequently. It also offers a no‑code text‑analytics interface with pre‑built models, one‑click deployment, and flexible input options such as CSV, spreadsheets, and browser‑extension exports, which reduces integration effort for non‑technical users. Support includes 24/5 customer support via chat or email, plus tailored learning materials and regular feature updates driven by customer feedback, so teams can continuously adapt their analysis workflows as new tools or models become available.
For more advanced use cases, Comments Analytics allows custom‑plan requests where the company can fine‑tune models to a specific domain or website, and it emphasizes data‑security practices such as HTTPS‑only transfers and no third‑party access to customer data. The tool is currently focused on English‑language text, with English‑only analytics, but its machine‑learning infrastructure is designed to handle many concurrent analysis requests and scale across large datasets. Overall, Comments Analytics positions itself as a purpose‑built commentary‑analysis layer on top of existing feedback‑collection workflows, rather than a full‑suite social‑media or CRM platform, so it fits best when the primary goal is to derive structured insight from large‑volume comment streams rather than to manage accounts or workflows end‑to‑end.
Comments Analytics pricing
Pricing model: Freemium
Comments Analytics offers a free‑trial plan that gives full access to the dashboard and all features but with a limited number of analysis queries, typically around 50 credits. Paid plans are structured as lifetime‑credit bundles: Starter at about 39 USD for 1,000 queries and Team at about 285 USD for 10,000 queries, with all plans providing comment extraction, sentiment analysis, keyword extraction, named‑entity recognition, and category extraction. The pricing model is based on a fixed number of queries, where each time a comment or text block is analyzed (e.g., sentiment or keyword extraction) one query is consumed, and there are no additional overage fees or monthly rollover limits on the credits. All standard plans include implementation and setup with pre‑trained models, secure data handling, 24/5 support, and no separate charges for using the Chrome extension or importing your own data. Custom plans are available on request and may include different query volumes, dedicated servers, or fine‑tuned models tailored to specific websites or industries.
Comments Analytics pros
- No‑code dashboard for comment analysis
- Lifetime‑credit‑based pricing model
- Chrome extension for YouTube comment extraction
- Supports CSV/XLSX and Google Sheets imports
- Full sentiment analysis on comment text
- Keyword extraction to surface top‑discussed topics
- Category extraction to group comments by topic
- Named‑entity recognition for brand/product mentions
- Pre‑trained text‑analytics models ready to use
- One‑click deployment for analyses
- No overage charges once queries are purchased
- Comments extraction included in every plan
- Setup and implementation support included
- 24/5 customer support via chat and email
- Private insights from competitive websites
- Regular feature updates influenced by user feedback
- Scalable backend handling many concurrent requests
- Secure data storage with no third‑party access
- HTTPS‑only data transfer and API calls
- Ability to request custom plans and fine‑tuned models
Comments Analytics cons
- Currently only supports English‑language analytics
- No built‑in multi‑language detection or translation
- Limited explicit pricing breakdown on main pages
- No native integration with social‑media APIs (only via CSV/extension)
- No visible real‑time live monitoring dashboard
- No clearly documented rate limits or concurrency details
- No self‑hosted or on‑premises deployment option
- No free tier with renewable credits, only one‑time trial queries
Frequently asked questions about Comments Analytics
How does the lifetime‑credit pricing model work?
Comments Analytics sells plans as lifetime‑credit bundles, meaning each plan gives you a fixed number of analysis queries that never expire. You use these credits whenever you analyze text, such as running sentiment analysis or keyword extraction on a comment, and once purchased you can consume them at any time without worrying about monthly rollover or expiration. All plans include the same core analytics features, and you can buy more credits later if needed, without any separate overage fees.
What counts as a query?
A query is counted each time your text is analyzed by one of the platform’s models, for example when you request sentiment analysis on a comment, run keyword extraction, or perform category extraction on a chunk of text. Each of these individual operations consumes one query from your plan, and the total number of queries you have depends on the plan you purchase, such as 50 in the free trial, 1,000 in the Starter plan, or 10,000 in the Team plan.
Does Comments Analytics handle data extraction from platforms like YouTube?
Yes; Comments Analytics provides a Chrome extension that lets you extract comments from YouTube videos into a JSON file, which you can then import into your dashboard. All standard plans include this extraction capability, so you can bring your own data from YouTube or other sources and analyze it without extra charges for extraction itself, as long as you handle the exporting and importing flows.
Are there any overage charges on top of the plans?
No; once you purchase a plan you do not pay additional overage fees for using your credits. You are limited only by the number of queries in that plan, and if you exhaust them you can either upgrade to a higher‑tier bundle or purchase more credits. There are no surprise costs for exceeding a certain threshold within the same billing period.
Do I need to code to use Comments Analytics?
No; the platform is designed as a no‑code analytics tool, so you can upload comments via CSV, XLSX, Google Sheets, or the Chrome extension and then run sentiment, keyword, and category analyses directly from the dashboard. Pre‑built models and one‑click deployment let you get insights without writing code, while still offering API‑like query consumption for repeatable workflows.
What languages does the platform support?
Currently Comments Analytics only supports English‑language analytics, meaning its models are trained and optimized for English text and provide sentiment, keyword, and category insights only for English comments. The platform does not yet offer built‑in multi‑language detection or translation for non‑English inputs, so non‑English comments would need to be translated externally before upload if you want to analyze them.
Is my data secure and private?
Comments Analytics transfers and stores data over HTTPS‑only channels and uses secure‑storage practices; customer data is not shared with third parties. The platform emphasizes that it keeps your data private and does not grant access to external actors, while also providing a privacy policy page that outlines how your information is handled and protected.
Can I get a custom plan or model?
Yes; the company offers custom plans and can fine‑tune models to specific websites or industries if your use case diverges from standard configurations. You can contact the team to discuss query volumes, dedicated servers, or domain‑specific training, and they will tailor a plan that fits your budget and technical needs while still using the same core analytics engine.
What payment methods are accepted?
Comments Analytics accepts PayPal and all major credit cards for purchasing plans and additional credits. Payments are handled through standard online payment gateways, and the billing support team can assist with any specific questions or issues related to invoicing or payment methods.
How often are new features added?
The platform releases new features and updates regularly, with a fast development cycle that incorporates customer feedback. You can expect ongoing improvements to the dashboard, analytics tools, and integrations, and the company highlights that many of these updates are driven by requests from existing users.